I’m Alidu Okpanachi, a results-driven Data Analyst and Business Intelligence professional with 3+ years of experience turning financial, commercial, inventory, and operational data into practical insights. I build Power BI dashboards, automate recurring reports, and help teams track KPIs that improve performance and decision-making. With an HND in Accounting and formal data analytics training, I combine strong data cleaning and validation skills with financial analysis knowledge—covering budgeting, SOE processes, cash-book management, and bank reconciliations. I’m especially motivated by work that strengthens data quality, improves visibility through reporting, and supports smarter business planning across operations and finance.…

ALIDU OKPANACHI

I’m Alidu Okpanachi, a results-driven Data Analyst and Business Intelligence professional with 3+ years of experience turning financial, commercial, inventory, and operational data into practical insights. I build Power BI dashboards, automate recurring reports, and help teams track KPIs that improve performance and decision-making. With an HND in Accounting and formal data analytics training, I combine strong data cleaning and validation skills with financial analysis knowledge—covering budgeting, SOE processes, cash-book management, and bank reconciliations. I’m especially motivated by work that strengthens data quality, improves visibility through reporting, and supports smarter business planning across operations and finance.…

Available to hire

I’m Alidu Okpanachi, a results-driven Data Analyst and Business Intelligence professional with 3+ years of experience turning financial, commercial, inventory, and operational data into practical insights. I build Power BI dashboards, automate recurring reports, and help teams track KPIs that improve performance and decision-making.

With an HND in Accounting and formal data analytics training, I combine strong data cleaning and validation skills with financial analysis knowledge—covering budgeting, SOE processes, cash-book management, and bank reconciliations. I’m especially motivated by work that strengthens data quality, improves visibility through reporting, and supports smarter business planning across operations and finance.

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Language

English
Fluent

Work Experience

Data Analyst at THE FOOD LEAGUE, Nigeria
January 1, 2025 - Present
Built Power BI dashboards covering sales, inventory, and customer insights to improve visibility into commercial and operational performance. Analyzed business performance data to identify revenue opportunities, contributing to an 18% increase in monthly revenue. Applied data-driven inventory controls and clearer stock reporting to reduce waste by 20%.
Data Analyst (Freelance) at Abuja, Nigeria
October 2, 2024 - October 17, 2025
Cleaned and standardized large datasets, ensuring accuracy and integrity by removing duplicates, correcting inconsistencies, and handling missing values. Coordinated stakeholder communications, supported client meetings, and managed project deliverables using structured timelines. Collaborated cross-functionally with internal teams to gather data requirements and ensure data infrastructure alignment with analytical needs.
Freelance Data Analyst at Fiverr & GitHub, Remote
January 1, 2024 - Present
Delivered Power BI and Excel dashboards for SMEs, transforming raw business data into clear KPI reporting and decision-support insights. Automated recurring reporting workflows using Python and SQL, reducing reporting time by 40%. Performed data cleaning, visualization, and reporting for business datasets and client projects.
Data Analyst (Freelance) at GitHub Projects & Fiverr Gigs
January 1, 2024 - Present
Built analytics dashboards for SMEs. Automated Power BI and Excel reports (30% time saved).
Finance Officer II at NIGERIA CENTRE FOR DISEASE CONTROL (NCDC), REDISSE World Bank Project
January 1, 2022 - January 1, 2024
Prepared Statements of Expenditure (SOE) by component and category, payment schedules, payment vouchers, and invoice analyses. Created Power BI dashboards for expense tracking and automated SQL-based financial reports to strengthen reporting visibility and consistency. Posted payment vouchers into the cash book, maintained monthly cash-book updates, and performed bank reconciliations; analyzed transactions and documentation to improve accuracy and maintain financial control.
Finance Intern at NYSC, Nigeria Centre for Disease Control (NCDC)
January 1, 2022 - October 17, 2025
Cleaned donor financial data using Excel and Python. Introduced automated reporting accuracy checks.
Auditor at NWABUZOR & CO / FES BENJAMIN ENAMUDU & CO Audit Firm, Abuja
January 1, 2021 - December 31, 2021
Vouched payment vouchers and cash-book transactions against sales, payments, and supporting documentation. Analyzed bank statements and reviewed financial records for accuracy and completeness.
Finance Intern at NIGERIA CENTRE FOR DISEASE CONTROL (NCDC)
January 1, 2021 - January 1, 2022
Cleaned and validated donor data using Excel and Python to improve data quality for reporting. Developed budget visualization dashboards to support financial planning and clearer review of budget data.
Cashier at KING FISHER NIGERIA LIMITED, Lagos
January 1, 2020 - December 31, 2020
Prepared sales invoices, collected cash, documented sales transactions in the sales day book, and provided daily transaction accounts.
Budget Supervisor Assistant at NIGERIA PRODUCT STORAGE COMPANY LIMITED (NPSC), NNPC Subsidiary, Abuja
January 1, 2018 - December 31, 2018
Entered approved budgets into vote books, including relevant sub-heads and codes. Reviewed and cleared payment invoices against budget codes and vote books and analyzed invoices by applicable codes.

Education

HND in Accounting at Federal Polytechnic Idah, Kogi State
August 1, 2016 - October 1, 2021
Diploma at NIIT Campus Technologies Ltd, Abuja
January 1, 2025 - October 17, 2025
Introduction to Data Analysis using Microsoft Excel at Coursera / NIIT Abuja
January 1, 2023 - October 17, 2025
Coursera: Network Business Analytics and Process Management at Coursera
January 1, 2024 - October 17, 2025
Higher National Diploma (HND) in Accounting at Federal Polytechnic Idah, Kogi
January 1, 2019 - January 1, 2021
National Diploma (ND) in Accounting at Federal Polytechnic Idah, Kogi
January 1, 2015 - January 1, 2016
Diploma in Data Analytics at NIIT
January 1, 2025 - January 1, 2025
Data Analysis with Excel at Coursera
January 11, 2030 - October 6, 2026

Qualifications

Diploma in NIIT Campus Technologies Ltd
January 1, 2025 - October 17, 2025
Introduction to Data Analysis using Microsoft Excel
January 1, 2023 - October 17, 2025
Coursera: Network Business Analytics and Process Management
January 1, 2024 - October 17, 2025

Industry Experience

Healthcare, Education, Non-Profit Organization, Professional Services, Financial Services, Government, Retail, Other
    Brand Preference Survey Analysis

    This project analyzes customer survey data to uncover insights into brand preferences, satisfaction levels, and purchase intent across multiple demographics.

    Objective:
    To identify the key factors influencing customer brand choice and help businesses improve marketing and product strategies.

    Key Steps:

    • Collected and cleaned survey data using Python (Pandas, NumPy)
    • Conducted exploratory data analysis (EDA) to identify patterns and correlations
    • Visualized insights using Matplotlib and Seaborn for age, gender, and brand preferences
    • Calculated descriptive statistics to measure customer satisfaction and loyalty trends
    • Created a summary report highlighting actionable marketing recommendations

    Results:

    • Revealed top three brands preferred by over 65% of respondents
    • Identified demographic factors driving purchasing behavior
    • Supported data-driven decisions for targeted marketing strategies

    Tools & Technologies:
    Python, Pandas, Matplotlib, Seaborn, Excel

    Project Link:
    [View on GitHub](https://www.twine.net/signin

    Customer Segmentation
    Built a predictive model to estimate housing prices based on property attributes such as size, location, and number of rooms. Key Steps: Performed data cleaning and feature engineering Built a Linear Regression model using Scikit-learn Evaluated model performance using Mean Squared Error (MSE) and R² Score Created Power BI visuals to explain feature impact on pricing Results: Achieved an R² score of 0.89, providing accurate and explainable price predictions. Tools & Technologies: Python, Pandas, Scikit-learn, Power BI…
    Customer Segmentation Using Machine Learning

    In this project, I used unsupervised machine learning (K-Means clustering) to segment customers based on demographic and behavioral data.
    The goal was to help the business identify distinct customer groups and tailor marketing strategies accordingly.

    Key Steps:

    Cleaned and standardized customer data using Python (Pandas & NumPy)

    Applied K-Means clustering and determined optimal cluster count using the Elbow Method

    Visualized clusters using Matplotlib and Seaborn

    Built an interactive Power BI dashboard showing key customer segments

    Results:
    Improved targeting accuracy and marketing efficiency by identifying top-value customer clusters.

    Tools & Technologies:
    Python, Scikit-learn, Power BI, Excel

    Project Link: https://www.twine.net/signin